What is ai-market-landscape?

A current overview of the AI market, covering model companies, products, pricing, competition, and business strategy. Foundation models are general-purpose AI systems that other products can build on.

Use it for competitive research, market analysis, product strategy, and understanding areas such as AI models, agents, enterprise tools, and consumer products.

It helps explain who is competing, where value is being created, and how different parts of the AI industry fit together.

ai-market-landscape — Skill for Claude Code by aroyburman-codes

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add aroyburman-codes/pm-skills --skill ai-market-landscape

Clone the repo

git clone --depth 1 https://github.com/aroyburman-codes/pm-skills

Made for: Claude Code.

Or install pm-skills, the plugin that ships this one along with the rest of its 17 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/ai-market-landscape/github.svg)](https://agentmods.dev/skills/aroyburman-codes/pm-skills/ai-market-landscape)

Your own site

<a href="https://agentmods.dev/skills/aroyburman-codes/pm-skills/ai-market-landscape"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/ai-market-landscape/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aroyburman-codes/pm-skills/ai-market-landscape"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/ai-market-landscape.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,220 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.01220
Opus 5	$0.00018	$0.00610
Sonnet 5	$0.00007	$0.00244
Haiku 4.5	$0.00004	$0.00122

Measured 12d ago against content hash 83a8ce0ded2f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-market-landscape scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ai-market-landscape/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Market Landscape Skill

Generate a comprehensive, up-to-date analysis of the AI competitive landscape — the market context every AI PM needs.

When to Use

User asks "What's the current AI landscape?"
User wants a competitive analysis of AI companies
User needs context on a specific AI market segment (models, agents, enterprise, consumer)
User says /ai-market-landscape followed by a focus area
Before any strategy interview to build fresh market context

Framework: AI Market Landscape (6 Sections)

Section 1: The AI Stack (Where Value Accrues)

Map the current AI value chain:

Layer 5: Applications    (ChatGPT, Perplexity, Cursor, vertical SaaS)
Layer 4: Orchestration   (LangChain, agent frameworks, MCP)
Layer 3: Models          (GPT-4, Claude, Gemini, Llama, Mistral)
Layer 2: Infrastructure  (AWS, Azure, GCP, Together, Fireworks)
Layer 1: Compute         (NVIDIA, AMD, custom chips - TPU, Trainium)

For each layer:

Who are the key players?
Where is commoditization happening?
Where is differentiation strongest?
Where is the most value being captured today vs. in 2 years?

Section 2: Foundation Model Landscape

Compare the major model providers:

Dimension	Lab A	Lab B	Lab C	Lab D	Lab E
Latest model
Key capability
Pricing (input/output per 1M tokens)
Open vs. closed
Primary distribution
Enterprise strategy
Safety approach
Funding / valuation

Section 3: Product Landscape

Map AI products by category:

Consumer AI:

General assistants (ChatGPT, Claude, Gemini)
Search (Perplexity, SearchGPT, Gemini)
Creative (Midjourney, DALL-E, Suno, Runway)
Productivity (Notion AI, Copilot, Jasper)

Developer AI:

Code (Cursor, GitHub Copilot, Claude Code, Windsurf)
APIs & platforms (major LLM provider APIs, cloud AI platforms)
Infrastructure (Vercel AI SDK, LangChain, LlamaIndex)

Read the full file on GitHub · 141 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 141 lines · 36 tokens per session scan A 83a8ce0ded2f

Subscribe to this mod's changes

ai-market-landscape is a skill published in the GitHub repository aroyburman-codes/pm-skills (25 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 1,220 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metrics Claude Code Research agent-skills ai claude-skills frameworks product-management

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ai-market-landscape